Learning meshes for dense visual SLAM

Estimating motion and surrounding geometry of a moving camera remains a challenging inference problem. From an information theoretic point of view, estimates should get better as more information is included, such as is done in dense SLAM, but this is strongly dependent on the validity of the underlying models. In the present paper, we use triangular meshes as both compact and dense geometry representation. To allow for simple and fast usage, we propose a view-based formulation for which we predict the in-plane vertex coordinates directly from images and then employ the remaining vertex depth components as free variables. Flexible and continuous integration of information is achieved through the use of a residual based inference technique. This so-called factor graph encodes all information as mapping from free variables to residuals, the squared sum of which is minimised during inference. We propose the use of different types of learnable residuals, which are trained end-to-end to increase their suitability as information bearing models and to enable accurate and reliable estimation. Detailed evaluation of all components is provided on both synthetic and real data which confirms the practicability of the presented approach

Neonatal osteofibrous dysplasia: synchronous tibial and fibular involvement is common

Osteofibrous dysplasia is a rare non-malignant fibro-osseous bone tumour, first described and characterised under this name by Campanacci in 1976. It is most commonly encountered in the tibia of children and young adults, but less frequently seen in the neonate with only few prior reports in the literature. We report a case of neonatal congenital osteofibrous dysplasia, presenting with unilateral limb deformity at birth. Radiographs demonstrated well-defined mixed lytic-sclerotic lesions, in a previously unreported distribution in this age-group, confined to the distal metadiaphysis of the affected tibia and fibula. Open surgery was performed for deformity correction, with tissue biopsy confirming the radiographically-suspected diagnosis. We present the up-to-date clinical, radiological and pathological findings in this case of a rare pathology with some novel features, within this age group, in disease distribution and consequent radiographic appearances. OFD should be considered in the differential of similar congenital deforming bone lesions of the lower limb. We also review the small number of previously published cases of congenital OFD in the neonate, noting in particular that the frequency of ipsilateral fibular involvement appears to be higher than that observed in older patients

Operationalizing critical race theory in the marketplace

Race is integral to the functioning and ideological underpinnings of marketplace actions yet remains undertheorized in marketing. To understand and transform the insidious ways in which race operates, the authors examine its impact in marketplaces and how these effects are shaped by intersecting forms of systemic oppression. They introduce critical race theory (CRT) to the marketing community as a useful framework for understanding consumers, consumption, and contemporary marketplaces. They outline critical theory traditions as utilized in marketing and specify the particular role of CRT as a lens through which scholars can understand marketplace dynamics. The authors delineate key CRT tenets and how they may shape the way scholars conduct research, teach, and influence practice in the marketing discipline. To clearly highlight CRT’s overall potential as a robust analytical tool in marketplace studies, the authors elaborate on the application of artificial intelligence to consumption markets. This analysis demonstrates how CRT can support an enhanced understanding of the role of race in markets and lead to a more equitable version of the marketplace than what currently exists. Beyond mere procedural modifications, applying CRT to marketplace studies mandates a paradigm shift in how marketplace equity is understood and practiced

Technology and Contemporary Classical Music: Methodologies in Practice-Based Research

This position paper provides a distillation of the NCRM Innovation Forum, ‘Technology and Contemporary Classical Music: Methodologies in Creative Practice Research’, hosted by Cyborg Soloists in June 2023. It features contributions from a variety of creative practitioner-researchers to debate the current state and future of technologically focused, practice-based research in contemporary classical music. The position paper is purposefully polyphonic and pluralistic. By collating a range of perspectives, experiences and expertise, the paper seeks to provoke and delineate a space for further questioning, inquiry, and response. The paper will be of interest to those working within creative practice research, particularly in relation to music, music technologists and those interested in research methodologies more broadly